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Interactive Agent Based Modeling of Public Health Decision-Making

机译:基于交互式智能体的公共卫生决策模型

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摘要

Agent-based models have yielded important insights regarding the transmission dynamics of communicable diseases. To better understand how these models can be used to study decision making of public health officials, we developed a computer program that linked an agent-based model of pertussis with an agent-based model of public health management. The program, which we call the Public Health Interactive Model & simulation (PHIMs) encompassed the reporting of cases to public health, case investigation, and public health response. The user directly interacted with the model in the role of the public health decision-maker. In this paper we describe the design of our model, and present the results of a pilot study to assess its usability and potential for future development. Affinity for specific tools was demonstrated. Participants ranked the program high in usability and considered it useful for training. Our ultimate goal is to achieve better public health decisions and outcomes through use of public health decision support tools.
机译:基于代理的模型已获得有关传染病传播动态的重要见解。为了更好地了解如何使用这些模型来研究公共卫生官员的决策,我们开发了一种计算机程序,该程序将基于百日咳的基于代理的模型与基于公共卫生管理的基于代理的模型联系在一起。我们称该程序为“公共卫生互动模型与模拟(PHIM)”,其中包括将病例报告给公共卫生,病例调查和公共卫生应对措施。用户在公共卫生决策者的角色中直接与模型进行交互。在本文中,我们描述了模型的设计,并提出了一项初步研究的结果,以评估其可用性和未来发展的潜力。证明了对特定工具的亲和力。参与者认为该程序的可用性很高,并认为它对培训很有用。我们的最终目标是通过使用公共卫生决策支持工具来实现更好的公共卫生决策和结果。

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